References
- A. Rosenfeldd and P. De la Torre, 'Histogram concavity analysis as an aid in threshold selection,' IEEE Trans. Syst, Man Cybern. SMC-13, pp.231-235, 1983 https://doi.org/10.1109/TSMC.1983.6313118
- M. I. Sezan, 'A peak detection algorithm and its application to histogram-based image data reduction,' Graph. Models Image Process, Vol.29, pp.47-59, 1985 https://doi.org/10.1016/S0734-189X(85)90150-1
- N. Otsu, 'A threhsold selection method from gray level histograms,' IEEE Trans. Syst, Man Cybern. SMC-9, pp.62-66, 1979
- D. E. Lloyd, 'Automatic target classification using moment invariant of image shapes,' Technical Report, RAE IDN AW 126, Famborough, UK, 1985
- N. Kapur, P. K. Sahoo and A. K. C. Wong, 'A new method for gray level picture thresholding using the entropy of the histogram,' Graph. Models Image Process, Vol.29, pp.273-285, 1985 https://doi.org/10.1016/0734-189X(85)90125-2
- T. Pun, 'Entropic thresholding: A new approach,' Comput, Graph. Image Process, Vol.16, pp.210-239, 1981 https://doi.org/10.1016/0146-664X(81)90038-1
- C. H. Li and. C. K. Lee, 'Minimum cross-entropy thresholding,' Pattern Recognition, Vol.26, pp.617-625, 1993 https://doi.org/10.1016/0031-3203(93)90115-D
- J. M. White and G. D. Rohrer, 'Image thresholding for optical character recognition and other applications requiring character image extraction,' IBM J. Res. Dev. Vol.27, No.4, pp.400-411, 1983 https://doi.org/10.1147/rd.274.0400
- W. Niblack, 'An introduction to image processing,' Prentice Hall, englewood cliffs, NJ, pp.115-116, 1986
- P. S. Liao, T. S. Chen and P. C. Chung, 'A fast algorithm for multi-level thresholding,' Journal of Information Science and Engineering, Vol.17, pp.713-727, 2001
- J. C. Noordam, W. H. A. M. van den Broek and L. M. C. Buydens, 'Multivariate image segmentation with cluster size insensitive Fuzzy C-means,' Chemometrics and Intelligent Laboratory Systems, Vol.64, pp.65-78, 2002 https://doi.org/10.1016/S0169-7439(02)00052-7
- C. Yan, N. Sang and T. Zhang, 'Local entropy-based transition region extraction and thresholding,' Pattern Recognition Letters, Vol.24, pp.2935-2941, 2003 https://doi.org/10.1016/S0167-8655(03)00154-5
- B. G. Kim, J. I. Shim and D. J. Park, 'Fast image segmentation based on multi-resolution analysis and wavelets,' Pattern Recognition Letters, Vol.24, pp.2995-3006, 2003 https://doi.org/10.1016/S0167-8655(03)00160-0
- M. sezgin and B. Sankur, 'Survey over image thresholding techniques and quantitative performance evaluation,' Journal of Electronic Imaging, Vol.13, No.1, pp.146-165, 2004 https://doi.org/10.1117/1.1631315
- M. Borsotti, P. Campadelli and R. Schettini, 'Quantitative evaluation of color image segmentation results,' Pattern Recognition Letters, Vol.19, pp.741-747, 1998 https://doi.org/10.1016/S0167-8655(98)00052-X
- X. J. Liang and N. Le, 'Transition region algorithm based on weighted gradient operator,' Image Recognition Automat, Vol.1, pp.4-7, 2001
- Y. J. Zhang and J. J. Gerbrands, 'Transition region determination based thresholding,' Pattern Recognition Letters, Vol.12, pp.13-23, 1991 https://doi.org/10.1016/0167-8655(91)90023-F